Custom AI, engineered for the realities of energy operations.
We design and build specific, customized AI solutions for the energy industry — effective from day one and evolutive by design, responding to industry needs across the full asset lifecycle.
Start the conversation Explore capabilitiesEvery solution is engineered toward four outcomes: enhanced safety, improved reliability, optimized economics and global business resilience — built on twelve disciplines of operational engineering knowledge.
AI solutions shaped around your assets, not the other way round.
Off-the-shelf AI rarely survives contact with an operating asset. We build solutions around your data, your workflows and your engineering standards — and we stay to make them evolve.
Predictive reliability & failure analytics
Machine-learning models trained on your CMMS history and condition data to anticipate equipment degradation and rank intervention priorities before failures occur.
Related: Maintenance & Reliability →Asset integrity intelligence
AI that reads inspection histories, corrosion data and process conditions to sharpen RBI risk pictures and flag integrity anomalies human review cycles miss.
Related: Risk Based Inspection →Engineering document intelligence
Custom pipelines that ingest P&IDs, datasheets and procedures at scale — extracting structure, spotting inconsistencies and making decades of documentation searchable and usable.
Related: Design Review & Verification →Production & energy optimization
Models that connect process data to production loss accounting and energy consumption, surfacing the operating envelopes and setpoints that recover barrels and megawatt-hours.
Related: Production Assurance →Safety barrier monitoring
Live SCE and barrier-health analytics that fuse assurance results, deviations and operational data into a single defensible picture of major-accident risk.
Related: Safety Critical Elements →Engineering copilots & custom workflows
Purpose-built assistants for your teams' recurring studies — FMEA, HAZOP, criticality — embedding your methods and libraries, with the engineer always in the loop.
Related: AI Tools →From a bounded pilot to an evolving capability.
Discover
We start from an operational problem worth solving — not from a technology. Together we bound the scope, assess your data readiness, and define what success looks like in barrels, hours or risk reduction.
Prototype
A working solution on your real data within weeks, evaluated against engineer judgment. If it doesn't beat your current way of working, we say so and stop there.
Deploy
Hardened, secured and integrated with your systems — CMMS, IDMS, historians — with the governance, traceability and engineer sign-off your industry requires.
Evolve
Assets age, feeds change, regulations tighten. Our solutions are built to retrain, extend and absorb new use cases — so the capability grows with your needs across the asset lifecycle.
Four results, one thread: resilience.
Enhanced safety
Sharper barrier visibility, earlier anomaly detection and study rigor at machine scale — reducing major-accident risk exposure.
Improved reliability
Failures anticipated instead of repaired; maintenance effort concentrated where failure behavior justifies it.
Optimized economics
Recovered production, reduced maintenance and inspection spend, and investment decisions ranked by quantified value.
Business resilience
Institutional knowledge captured in systems instead of retiring with people — a capability that compounds across the asset lifecycle.
Bring us one operational problem. We'll show you what custom AI can do with it.
A scoped pilot on a bounded problem — one unit, one system, one workflow — is the fastest honest test. We respond within one business day.
Start the conversation See our AI tools